Buddle logo
Buddle

Offshoring Partner of Choice trusted by many innovative Australian & Global businesses since 2019.

Data Engineer

Data EngineerData EngineerPart TimeRemoteJuniorTeam 11-50Since 2019H1B No SponsorCompany SiteLinkedIn

Location

Philippines

Posted

114 days ago

Salary

0

Seniority

Junior

Job Description

Data Engineer

Buddle

• Design, build, and maintain ETL/ELT pipelines for structured and unstructured datasets • Process and analyze customer, operational, and financial transaction data • Develop scalable data workflows and reusable scripts for automation and reporting • Maintain data models, metric definitions, and analytics documentation • Optimize SQL queries and improve data processing performance and reliability • Integrate external data sources such as ABS and Census datasets into existing databases • Support cloud-based data platforms and modern data lakehouse environments • Build dashboards and reports for internal and external stakeholders • Translate business requirements into actionable analytics and reporting solutions • Support KPI tracking, operational reporting, and customer behavior analysis • Help identify trends, anomalies, and opportunities through data-driven insights • Collaborate with engineers, analysts, and stakeholders in agile environments • Participate in planning, testing, debugging, and deployment activities • Contribute ideas to improve workflows, system reliability, and engineering processes • Adapt quickly to changing priorities and evolving business requirements • Support development of reusable templates, modular scripts, and data engineering best practices • Support additional engineering or analytics initiatives as needed • Identify opportunities to improve processes, systems, and performance • Contribute to a collaborative and high-performing team environment • Assist in maintaining data quality, governance, and documentation standards

Job Requirements

  • 1–3 years of experience in data engineering, analytics, or software engineering
  • Strong understanding of data pipelines, databases, and reporting systems
  • Hands-on experience with SQL, Python, and data transformation workflows
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Exposure to modern data platforms including Databricks, Snowflake, Airflow, or DBT
  • Experience working with dashboards and reporting tools such as Power BI or similar BI platforms
  • Strong problem-solving and analytical thinking skills
  • Ability to quickly learn new technologies and adapt to evolving environments
  • Comfortable working in agile, fast-paced, and collaborative teams
  • Exposure to fintech, payments, financial systems, or large-scale datasets is an advantage but not required.

Benefits

  • Health insurance
  • Internet allowance
  • KPI incentive program
  • Fortnightly virtual happy hour
  • Annual group offsites

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